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Shared-Memory parallelization of consistent particle method for violent wave impact problems

M. Luo, C.G. Koh, Min Luo Orcid Logo

Applied Ocean Research, Volume: 69, Pages: 87 - 99

Swansea University Author: Min Luo Orcid Logo

Abstract

A shared-memory parallelization is implemented to the recently developed Consistent Particle Method (CPM) for violent wave impact problems. The advantages of this relatively new particle method lie in four key aspects: (1) accurate computation of Laplacian and gradient operators based on Taylor seri...

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Published in: Applied Ocean Research
ISSN: 01411187
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa36811
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spelling 2019-06-10T15:39:13.0968802 v2 36811 2017-11-16 Shared-Memory parallelization of consistent particle method for violent wave impact problems 91e3463c73c6a9d1f5c025feebe4ad0f 0000-0002-6688-9127 Min Luo Min Luo true false 2017-11-16 GENG A shared-memory parallelization is implemented to the recently developed Consistent Particle Method (CPM) for violent wave impact problems. The advantages of this relatively new particle method lie in four key aspects: (1) accurate computation of Laplacian and gradient operators based on Taylor series expansion, alleviating spurious pressure fluctuation and being able to model two-phase flows characterized by large density difference, (2) a thermodynamics-based compressible solver for modelling compressible air that eliminates the need of determining artificial sound speed, (3) seamless coupling of the compressible air solver and incompressible water solver, and (4) parallelization of the numerical model based on Open Multi-Processing (OpenMP) and a parallel direct sparse solver (Pardiso) to significantly improve computational efficiency. Strong and weak scaling analyses of the parallelized CPM are conducted, showing an efficiency speedup of 100 times or more depending on the size of simulated problem. To demonstrate the accuracy of the developed numerical model, three numerical examples are studied including the benchmark study of wave impact on seawall, and our experimental studies of violent water sloshing under rotational excitations and sloshing impact with entrapped air pocket. CPM is shown to accurately capture highly deformed breaking waves and violent wave impact pressure including pressure oscillation induced by air cushion effect. Journal Article Applied Ocean Research 69 87 99 01411187 particle method; wave impact; shared-memory; two-phase flow; air compressibility 31 12 2017 2017-12-31 10.1016/j.apor.2017.09.013 COLLEGE NANME General Engineering COLLEGE CODE GENG Swansea University 2019-06-10T15:39:13.0968802 2017-11-16T18:55:01.9542172 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering M. Luo 1 C.G. Koh 2 Min Luo 0000-0002-6688-9127 3 0036811-08012018090806.pdf luo2017v2.pdf 2018-01-08T09:08:06.6100000 Output 1987235 application/pdf Accepted Manuscript true 2018-11-05T00:00:00.0000000 true eng
title Shared-Memory parallelization of consistent particle method for violent wave impact problems
spellingShingle Shared-Memory parallelization of consistent particle method for violent wave impact problems
Min Luo
title_short Shared-Memory parallelization of consistent particle method for violent wave impact problems
title_full Shared-Memory parallelization of consistent particle method for violent wave impact problems
title_fullStr Shared-Memory parallelization of consistent particle method for violent wave impact problems
title_full_unstemmed Shared-Memory parallelization of consistent particle method for violent wave impact problems
title_sort Shared-Memory parallelization of consistent particle method for violent wave impact problems
author_id_str_mv 91e3463c73c6a9d1f5c025feebe4ad0f
author_id_fullname_str_mv 91e3463c73c6a9d1f5c025feebe4ad0f_***_Min Luo
author Min Luo
author2 M. Luo
C.G. Koh
Min Luo
format Journal article
container_title Applied Ocean Research
container_volume 69
container_start_page 87
publishDate 2017
institution Swansea University
issn 01411187
doi_str_mv 10.1016/j.apor.2017.09.013
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering
document_store_str 1
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description A shared-memory parallelization is implemented to the recently developed Consistent Particle Method (CPM) for violent wave impact problems. The advantages of this relatively new particle method lie in four key aspects: (1) accurate computation of Laplacian and gradient operators based on Taylor series expansion, alleviating spurious pressure fluctuation and being able to model two-phase flows characterized by large density difference, (2) a thermodynamics-based compressible solver for modelling compressible air that eliminates the need of determining artificial sound speed, (3) seamless coupling of the compressible air solver and incompressible water solver, and (4) parallelization of the numerical model based on Open Multi-Processing (OpenMP) and a parallel direct sparse solver (Pardiso) to significantly improve computational efficiency. Strong and weak scaling analyses of the parallelized CPM are conducted, showing an efficiency speedup of 100 times or more depending on the size of simulated problem. To demonstrate the accuracy of the developed numerical model, three numerical examples are studied including the benchmark study of wave impact on seawall, and our experimental studies of violent water sloshing under rotational excitations and sloshing impact with entrapped air pocket. CPM is shown to accurately capture highly deformed breaking waves and violent wave impact pressure including pressure oscillation induced by air cushion effect.
published_date 2017-12-31T03:46:10Z
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